Remove 2024 Remove Data Lakes Remove Database
article thumbnail

Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

Using data versioning can make it possible to have the snapshot of the training data and experimentation results to make the implementation easier at each iteration. The above challenges can be tackled by using the following eight data version control tools. Most developers are familiar with Git for source code versioning.

article thumbnail

Building an Effective OSS Management Layer for Your Data Lake

ODSC - Open Data Science

Be sure to check out her talk, “ Don’t Go Over the Deep End: Building an Effective OSS Management Layer for Your Data Lake ,” there! Managing a data lake can often feel like being lost at sea — especially when dealing with both structured and unstructured data.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Open Data Lakes, Safeguarding Images From AI, Free Data Viz Tools, and 50% Off ODSC East

ODSC - Open Data Science

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake. To DIY you need to: host an API, build a UI, and run or rent a database. See them here!

article thumbnail

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning Blog

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. This table is used for finding the correct table, database, and attributes.

SQL 138
article thumbnail

What Does a Data Engineering Job Involve in 2024?

ODSC - Open Data Science

This is a pretty important job as once the data has been integrated, it can be used for a variety of purposes, such as: Reporting and analytics Business intelligence Machine learning Data mining All of this provides stakeholders and even their own teams with the data they need when they need it.

article thumbnail

Query structured data from Amazon Q Business using Amazon QuickSight integration

AWS Machine Learning Blog

Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content (such as PDFs, Word documents, and HTML pages), and structured data (real-time data and reports stored in databases or data lakes).

AWS 103
article thumbnail

The Top AI Slides from ODSC West 2024

ODSC - Open Data Science

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.